LDPC-based Gaussian key reconciliation

Mathieu Bloch (1) , A. Thangaraj (1) , S.W. Mc Laughlin (1) , J.M. Merolla (2)

1 Georgia Tech Lorraine [Metz]
2 FEMTO-ST - Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174)

We propose a new information reconciliation method which allows two parties sharing continuous random variables to agree on a common bit string. We show that existing coded modulation techniques can be adapted for reconciliation and give an explicit code construction based on LDPC codes in the case of Gaussian variables. Simulations show that our method achieves higher efficiency than previously reported results.

Domaines: Optique / photonique

Mathieu Bloch, A. Thangaraj, S.W. Mc Laughlin, J.M. Merolla. LDPC-based Gaussian key reconciliation. 2006 IEEE Information Theory Workshop, Mar 2006, Punta del Este, Uruguay. pp.116-120, ⟨10.1109/ITW.2006.1633793⟩. ⟨hal-00362753⟩